Considerations for reproducible omics in aging research.


Journal

Nature aging
ISSN: 2662-8465
Titre abrégé: Nat Aging
Pays: United States
ID NLM: 101773306

Informations de publication

Date de publication:
08 2023
Historique:
received: 30 01 2023
accepted: 01 06 2023
pmc-release: 01 02 2024
medline: 18 8 2023
pubmed: 30 6 2023
entrez: 29 6 2023
Statut: ppublish

Résumé

Technical advancements over the past two decades have enabled the measurement of the panoply of molecules of cells and tissues including transcriptomes, epigenomes, metabolomes and proteomes at unprecedented resolution. Unbiased profiling of these molecular landscapes in the context of aging can reveal important details about mechanisms underlying age-related functional decline and age-related diseases. However, the high-throughput nature of these experiments creates unique analytical and design demands for robustness and reproducibility. In addition, 'omic' experiments are generally onerous, making it crucial to effectively design them to eliminate as many spurious sources of variation as possible as well as account for any biological or technical parameter that may influence such measures. In this Perspective, we provide general guidelines on best practices in the design and analysis of omic experiments in aging research from experimental design to data analysis and considerations for long-term reproducibility and validation of such studies.

Identifiants

pubmed: 37386258
doi: 10.1038/s43587-023-00448-4
pii: 10.1038/s43587-023-00448-4
pmc: PMC10527412
mid: NIHMS1913581
doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

921-930

Subventions

Organisme : NIA NIH HHS
ID : R01 AG076433
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM142395
Pays : United States

Informations de copyright

© 2023. Springer Nature America, Inc.

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Auteurs

Param Priya Singh (PP)

Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA. param.singh@ucsf.edu.
Bakar Aging Research Institute, University of California, San Francisco, San Francisco, CA, USA. param.singh@ucsf.edu.

Bérénice A Benayoun (BA)

Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA. berenice.benayoun@usc.edu.
Molecular and Computational Biology Department, USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, USA. berenice.benayoun@usc.edu.
Biochemistry and Molecular Medicine Department, USC Keck School of Medicine, Los Angeles, CA, USA. berenice.benayoun@usc.edu.
Epigenetics and Gene Regulation, USC Norris Comprehensive Cancer Center, Los Angeles, CA, USA. berenice.benayoun@usc.edu.
USC Stem Cell Initiative, Los Angeles, CA, USA. berenice.benayoun@usc.edu.

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